Image Processing

Image Processing Capabilities

Anti-aliasing and edge-enhancement
Color transform and correction
Screening and halftoning
Gamma, contrast adjustment, correction
Autoexposure algorithms
Pixel level and image sensor level analysis
Alternate color filter patterns and color processing algorithms for low-light color sensing
Pixel-level image correction for sensor dark frame variation and linear output
Defect variation image correction

Applied artificial intelligence (image and video) classification, localization, and segmentation
Implementation of neural network architectures and deep learning algorithms
Compiled neural networks for dataflow architectures
Custom frameworks
Custom dataset capture process guidance and development
Custom AI model development and training
Deployment of custom AI models on FPGA, GPU, and dataflow architectures
Inference engine tuning for real-time and low-latency timing requirements

Computer vision algorithm development: deep analysis of imagery, video, and feature set development for surfacing of actionable intelligence.
Complex pixel reordering for fast lookup operations involving DDR, QDR, and RLDRAM memories
High dynamic range hardware designs and software/firmware algorithms for capture and display
Digital image fusion systems using VIS-NIR, MWIR and LWIR sensors
ROI Pyramid, False Color Fusion system
Lossy and lossless compression algorithms